Wavu Wank

TEKKEN® 8 glicko2 Ratings &
Online Ranked Statistics

Ratings

annoyindreamer vs Kazuya 19–11 63.33%
annoyindreamer vs Dragunov 11–7 61.11%
annoyindreamer vs King 10–7 58.82%
annoyindreamer vs Bryan 11–6 64.71%
annoyindreamer vs Reina 11–6 64.71%
annoyindreamer vs Yoshimitsu 10–4 71.43%
annoyindreamer vs Lee 9–4 69.23%
annoyindreamer vs Law 9–3 75.00%
annoyindreamer vs Jin 6–4 60.00%
annoyindreamer vs Clive 6–4 60.00%
annoyindreamer vs Devil Jin 5–4 55.56%
annoyindreamer vs Leo 7–2 77.78%
annoyindreamer vs Steve 3–5 37.50%
annoyindreamer vs Asuka 7–1 87.50%
annoyindreamer vs Azucena 7–1 87.50%
annoyindreamer vs Victor 5–3 62.50%
annoyindreamer vs Fahkumram 5–3 62.50%
annoyindreamer vs Xiaoyu 5–2 71.43%
annoyindreamer vs Lars 6–1 85.71%
annoyindreamer vs Nina 3–4 42.86%
annoyindreamer vs Jun 6–0 100.00%
annoyindreamer vs Lidia 5–1 83.33%
annoyindreamer vs Armor King 3–3 50.00%
annoyindreamer vs Feng 3–2 60.00%
annoyindreamer vs Heihachi 4–1 80.00%
annoyindreamer vs Hwoarang 4–0 100.00%
annoyindreamer vs Lili 4–0 100.00%
annoyindreamer vs Zafina 3–1 75.00%
annoyindreamer vs Eddy 2–2 50.00%
annoyindreamer vs Kuma 0–3 0.00%
annoyindreamer vs Anna 1–2 33.33%
annoyindreamer vs Leroy 2–0 100.00%
annoyindreamer vs Paul 0–1 0.00%
annoyindreamer vs Jack-8 1–0 100.00%
annoyindreamer vs Panda 1–0 100.00%

Limitations

This data is often requested to give insight into which characters you have more trouble with than others, but it is not particularly helpful for that. The main issue is that it is heavily skewed by how strong the opponents you play are.

For example, this data suggests my worst matchup is clearly vs Reina, but that's just because most of those games are vs Yagami.

There is a way to account for this being worked on. The central idea is to assign each matchup a rating vs you which adjusts based on the result, much like the regular rating but also based on the rating of each player. With this, it would give a better summary of how well you perform vs each character.

In the meantime, this page is here to present the data as requested.